Conferences in DBLP
Eamonn J. Keogh , Michael J. Pazzani Scaling up Dynamic Time Warping to Massive Dataset. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:1-11 [Conf ] Zbigniew R. Struzik , Arno Siebes The Haar Wavelet Transform in the Time Series Similarity Paradigm. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:12-22 [Conf ] Shusaku Tsumoto Rule Discovery in Large Time-Series Medical Databases. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:23-31 [Conf ] Hendrik Blockeel , Saso Dzeroski , Jasna Grbovic Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:32-40 [Conf ] Elisa Bertino , Barbara Catania , Eleonora Caglio Applying Data Mining Techniques to Wafer Manufacturing. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:41-50 [Conf ] Silvia Massa , Pier Paolo Puliafito An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:51-60 [Conf ] Gou Masuda , Rei Yano , Norihiro Sakamoto , Kazuo Ushijima Discovering and Visualizing Attribute Associations Using Bayesian Networks and Their Use in KDD. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:61-70 [Conf ] F. A. El-Mouadib , Jacek Koronacki , Jan M. Zytkow Taxonomy Formation by Approximate Equivalence Relations, Revisited. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:71-79 [Conf ] Arthur Flexer On the Use of Self-Organizing Maps for Clustering and Visualization. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:80-88 [Conf ] Tapio Elomaa , Juho Rousu Speeding Up the Search for Optimal Partitions. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:89-97 [Conf ] Ljupco Todorovski , Saso Dzeroski Experiments in Meta-level Learning with ILP. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:98-106 [Conf ] Andrzej Skowron , Hung Son Nguyen Boolean Reasoning Scheme with Some Applications in Data Mining. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:107-115 [Conf ] Jirí Ivánek On the Correspondence between Classes of Implicational and Equivalence Quantifiers. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:116-124 [Conf ] Fosca Giannotti , Giuseppe Manco Querying Inductive Databases via Logic-Based User-Defined Aggregates. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:125-135 [Conf ] Ning Zhong , Yiyu Yao , Setsuo Ohsuga Peculiarity Oriented Multi-database Mining. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:136-146 [Conf ] Shusaku Tsumoto Knowledge Discovery in Medical Multi-databases: A Rough Set Approach. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:147-155 [Conf ] Rónán Páircéir , Sally I. McClean , Bryan W. Scotney Automated Discovery of Rules and Exeptions from Distributed Databases Using Aggregates. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:156-164 [Conf ] Ronen Feldman , Yonatan Aumann , Moshe Fresko , Orly Liphstat , Binyamin Rosenfeld , Yonatan Schler Text Mining via Information Extraction. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:165-173 [Conf ] Chris Clifton , Robert Cooley TopCat: Data Mining for Topic Identification in a Text Corpus. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:174-183 [Conf ] Marc Sebban , Djamel A. Zighed , S. Di Palma Selection and Statistical Validation of Features and Prototypes. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:184-192 [Conf ] Thomas Ågotnes , Henryk Jan Komorowski , Terje Løken Taming Large Rule Models in Rough Set Approaches. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:193-203 [Conf ] Dmitry Zelenko Optimizing Disjunctive Association Rules. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:204-213 [Conf ] Marc Sebban , Richard Nock Contribution of Boosting in Wrapper Models. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:214-222 [Conf ] Richard Nock , Marc Sebban , Pascal Jappy Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:223-231 [Conf ] Robert J. Hilderman , Howard J. Hamilton Heuristic Measures of Interestingness. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:232-241 [Conf ] Thomas Wittmann , Johannes Ruhland , Matthias Eichholz Enhancing Rule Interestingness for Neuro-fuzzy Systems. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:242-250 [Conf ] Uzi Murad , Gadi Pinkas Unsupervised Profiling for Identifying Superimposed Fraud. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:251-261 [Conf ] Markus M. Breunig , Hans-Peter Kriegel , Raymond T. Ng , Jörg Sander OPTICS-OF: Identifying Local Outliers. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:262-270 [Conf ] Érick Alphonse , Céline Rouveirol Selective Propositionalization for Relational Learning. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:271-276 [Conf ] Yonatan Aumann , Ronen Feldman , Yaron Ben-Yehuda , David Landau , Orly Liphstat , Yonatan Schler Circle Graphs: New Visualization Tools for Text-Mining. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:277-282 [Conf ] Henry Brighton , Chris Mellish On the Consistency of Information Filters for Lazy Learning Algorithms. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:283-288 [Conf ] Robert Cattral , Franz Oppacher , Dwight Deugo Using Genetic Algorithms to Evolve a Rule Hierarchy. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:289-294 [Conf ] Xiaodong Chen , Ilias Petrounias Mining Temporal Features in Association Rules. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:295-300 [Conf ] Filip Coenen , Gilbert Swinnen , Koen Vanhoof , Geert Wets The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:301-308 [Conf ] Richard J. Cole II , Peter W. Eklund Analyzing an Email Collection Using Formal Concept Analysis. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:309-315 [Conf ] Piew Datta Bisiness Focused Evaluation Methods: A Case Study. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:316-322 [Conf ] Wolfgang Ertel , Manfred Schramm Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:323-328 [Conf ] A. J. Feelders Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:329-334 [Conf ] María C. Fernández-Baizán , Ernestina Menasalvas Ruiz , José M. Peña Sánchez , Socorro Millán , Eloina Mesa Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:335-340 [Conf ] Christina S. Fertig , Alex Alves Freitas , Lucia V. R. Arruda , Celso A. A. Kaestner A Fuzzy Beam-Search Rule Induction Algorithm. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:341-347 [Conf ] Zhiwei Fu An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:348-353 [Conf ] Javier Raymundo García-Serrano , José Francisco Martínez Trinidad Extension to C-means Algorithm for the Use of Similarity Functions. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:354-359 [Conf ] Claire J. Kennedy , Christophe G. Giraud-Carrier , Douglas W. Bristol Predicting Chemical Carcinogenesis Using Structural Information Only. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:360-365 [Conf ] Mikhail V. Kiselev , Sergei M. Ananyan , Sergei B. Arseniev LA - A Clustering Algorithm with an Automated Selection of Attributes, wich is Invariant to Functional Transformations of Coordinates. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:366-371 [Conf ] Mika Klemettinen , Heikki Mannila , A. Inkeri Verkamo Association Rule Selection in a Data Mining Environment. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:372-377 [Conf ] Arno J. Knobbe , Arno Siebes , Danïel van der Wallen Multi-relational Decision Tree Induction. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:378-383 [Conf ] Sergei O. Kuznetsov Learning of Simple Conceptual Graphs from Positive and Negative Examples. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:384-391 [Conf ] Wojciech Kwedlo , Marek Kretowski An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:392-397 [Conf ] Stéphane Lallich ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:398-405 [Conf ] Jinyan Li , Xiuzhen Zhang , Guozhu Dong , Kotagiri Ramamohanarao , Qun Sun Efficient Mining of High Confidience Association Rules without Support Thresholds. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:406-411 [Conf ] Churn-Jung Liau , Duen-Ren Liu A Logical Approach to Fuzzy Data Analysis. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:412-417 [Conf ] Guido Lindner , Rudi Studer AST: Support for Algorithm Selection with a CBR Approach. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:418-423 [Conf ] Stefano Lodi , Luisella Reami , Claudio Sartori Efficient Shared Near Neighbours Clustering of Large Metric Data Sets. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:424-429 [Conf ] Stéphane Lopes , Jean-Marc Petit , Farouk Toumani Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements. [Citation Graph (1, 0)][DBLP ] PKDD, 1999, pp:430-435 [Conf ] René MacKinney-Romero , Christophe G. Giraud-Carrier Learning from Highly Structured Data by Decomposition. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:436-441 [Conf ] Eddy Mayoraz , Miguel Moreira Combinatorial Approach for Data Binarization. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:442-447 [Conf ] Maybin K. Muyeba , John A. Keane Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:448-455 [Conf ] Nikolay I. Nikolaev , Hitoshi Iba Automated Discovery of Polynomials by Inductive Genetic Programming. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:456-461 [Conf ] Aleksander Øhrn , Henryk Jan Komorowski Diagnosing Acute Appendicitis with Very Simple Classification Rules. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:462-467 [Conf ] Takashi Okada Rule Induction in Cascade Model Based on Sum of Squares Decomposition. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:468-474 [Conf ] Michal Pechoucek , Olga Stepánková , Petr Miksovský Maintenance of Discovered Knowledge. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:476-483 [Conf ] Clara Pizzuti , Domenico Talia , Giorgio Vonella A Divise Initialisation Method for Clustering Algorithms. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:484-491 [Conf ] Thorsten Poddig , Claus Huber A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:492-497 [Conf ] Lubos Popelínsky , Tomás Pavelek Mining Lemma Disambiguation Rules from Czech Corpora. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:498-503 [Conf ] Chris P. Rainsford , John F. Roddick Adding Temporal Semantics to Association Rules. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:504-509 [Conf ] Ricco Rakotomalala , Stéphane Lallich , S. Di Palma Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:510-517 [Conf ] Zbigniew W. Ras Discovering Rules in Information Trees. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:518-523 [Conf ] Andreas Rauber , Dieter Merkl Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:524-529 [Conf ] Johannes Ruhland , Thomas Wittmann Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:530-535 [Conf ] Alexandr A. Savinov Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:536-541 [Conf ] Andrzej Skowron , Jaroslaw Stepaniuk Towards Discovery of Information Granules. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:542-547 [Conf ] Dominik Slezak , Jakub Wroblewski Classification Algorithms Based on Linear Combinations of Features. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:548-553 [Conf ] Myra Spiliopoulou Managing Interesting Rules in Sequence Mining. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:554-560 [Conf ] Shinsuke Sugaya , Einoshin Suzuki , Shusaku Tsumoto Support Vector Machines for Knowledge Discovery. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:561-567 [Conf ] Ilhan Uysal , H. Altay Güvenir Regression by Feature Projections. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:568-573 [Conf ] N. Xiong , Lothar Litz Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:574-579 [Conf ] Jan Mrázek Data Mining for Robust Business Intelligence Solutions. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:580-581 [Conf ] Jean-François Boulicaut Query Languages for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:582-583 [Conf ] Susanne Köhler , Michael Krieger The ESPRIT Project CreditMine and Its Relevance for the Internet Market. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:584-585 [Conf ] Petr Hájek , Jan Rauch Logics and Statistics for Association Rules and Beyond Abstract of Tutorial. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:586-587 [Conf ] Myra Spiliopoulou Data Mining for the Web. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:588-589 [Conf ] Luc De Raedt , Hendrik Blockeel Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. [Citation Graph (0, 0)][DBLP ] PKDD, 1999, pp:590- [Conf ]